In the wave of digitalization, AI technology not only drives entertainment but also opens up new opportunities across industries. For the foreign trade sector, acquiring clients is crucial. This article explores how AI aids foreign trade enterprises in effective customer acquisition, leveraging insights from Mafengwo's "AI Xiao Ma."
As AI technology continues to advance, AI customer acquisition is becoming an important means for enterprises to attract new customers. Recently, Alibaba Cloud’s Qwen3, with its powerful multi-modal capabilities and flexible model structure, has shown great potential in social media data processing, especially in the application of Twitter data, providing new ideas for businesses to acquire customers.
With the development of internet technology, AI is gradually permeating various industries, especially in marketing. This article discusses how AI technology empowers marketing to enhance customer acquisition efficiency, illustrated by YouTube's AI-generated highlights video and Quora's customer acquisition.
With the development of AI technology, businesses are discovering new opportunities for identifying and attracting potential customers. Using platforms like Quora for data collection is common, but advanced AI technologies such as Alibaba Cloud's Qwen3 promise even more efficient solutions. This article explores the application and future trends in AI customer acquisition, focusing on the role of Qwen3.
As AI technology advances, more companies are realizing the importance of personalized recommendations. From social media to e-commerce sites, this feature is crucial for enhancing user experience and improving conversion rates. Recently, YouTube introduced experimental AI-generated video highlights, demonstrating AI's significant role in marketing. This article explores this new technology and its potential impact on the industry.
AI voice recognition technology is a highlight in the field of artificial intelligence, transforming our lifestyle. This article explores how Qwen3 showcases the potential and value of AI voice recognition technology in multimodal content creation, customer service, and more.
In today's digital age, marketing methods are undergoing a revolutionary transformation, led by artificial intelligence (AI). Especially in client acquisition through platforms like LinkedIn, AI technology is showing unprecedented potential. This article delves into the cutting-edge applications of AI + marketing, specifically how these technologies can effectively acquire LinkedIn clients and deliver real value to businesses.
This week, Alibaba Cloud’s release of the Qwen3 series of large language models marks another significant leap in China’s AI technology. Offering advanced multimodal processing and support for contexts up to 256K in length, Qwen3 brings unprecedented opportunities to various sectors. This article explores how Qwen3 drives changes in AI application scenarios and its impact on future development.
As global trade competition intensifies, more foreign trade enterprises are adopting AI technology to optimize customer acquisition processes and enhance data security. By analyzing big data from social media platforms like Twitter, businesses can more accurately identify potential customers and address cyber threats in real time. The recent launch of “Data Reef” has further advanced this technology.
With the rapid development of artificial intelligence technology, various AI applications are increasingly integrated into our lives, especially in the tourism sector. Recently, Mafengwo launched its AI travel assistant "AI Xiao Ma," combining DeepSeek's large model and years of travel data to provide users with precise travel recommendations and services. This article explores how AI technology is transforming the travel industry and introduces the innovations and potential of "AI Xiao Ma."
As AI technology evolves, especially with the advent of advanced language models like EmaFusion, AI's potential in marketing has never been greater. This article explores how these cutting-edge tools, particularly Twitter data, can be utilized to effectively enhance customer reach and unlock new marketing landscapes for businesses.